Oct 17, 2016
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
Dec 20, 2016
Great course!\n\nEmily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.
교육 기관: Bruno C•
Oct 13, 2016
I enjoyed the course.
I wish it had more machine data driven models to to address more industrial type problems, for instance Predictive maintenance.
교육 기관: Marta C G•
Dec 11, 2019
The course was OK, but I would introduce more about scikit-learn rather than a library that can only be installed in MacOS or Linux in an easier way
교육 기관: Ha T N•
Mar 05, 2018
That's a good course overall, but the implementation is too much depend on graphlab. It would be nicer if the instructors switch to use scikit-learn
교육 기관: Giorgi G•
Dec 24, 2015
It was more about learning DATO then any insight. However I understand that this course is good motivator for beginners, but was very boring for me.
교육 기관: Radu C•
Sep 01, 2018
A nice intro to ML foundations. Will enroll into the follow up courses from this specialization.
Using python2 and graphlab was a bit of a turn off.
교육 기관: FLORES•
Dec 15, 2016
A good introduction to ML applications, but not as detailed and thorough as I expected. I'm looking forward to the following of the specialization.
교육 기관: Narasimha P•
Feb 21, 2016
The course is an excellent starter to understand the foundations of Machine Learning. The Assignments could a bit more involved and have more rigor
교육 기관: Shalsangz•
Dec 25, 2015
Thank you Emily & Carlos! I really enjoyed the course. It was very well taught with clear explanations. Looking forward to the rest of the courses!
교육 기관: Yousef Z•
Dec 05, 2017
It is a very good course to start in machine learning. I liked it. But I think it need more details in Graphlab and how it is really works inside.
교육 기관: Luis C•
Sep 26, 2016
Actually the course goes great, just a cuople onf the intro video are useless, and in fact distract the real value of the course in its first week
교육 기관: Shridhar A H•
Jul 29, 2020
This is the bets course to learn ML as it teaches you through project base learning which most of the courses don't do. It's really a nice course
교육 기관: Alon H•
Feb 12, 2016
Deep learning session is a bit unclear in that it doesn't give a pratical example of how a simple Nueral network can be mapped to a deep-feature.
교육 기관: Fred M B•
Apr 08, 2016
The ML Foundations course provides a good overview of the other courses in the specialization. It also provides a good introduction to GraphLab.
교육 기관: Rishabh s•
Jul 14, 2020
The course is great. The only problem was Graphlab and unfortunately i have to convert the code for pandas. Overall the course was informative
교육 기관: Yashodhar P P•
Jul 12, 2020
Fantastic way of teaching. Only thing that I felt uncomfortable is that practical videos are old and mentioned graphlab instead of turicreate.
교육 기관: Kingshuk C•
Dec 14, 2015
Provides a good overview of the machine learning branches. Makes sense to approach it as a black box and then take deep dives in later series.
교육 기관: Sunil N•
Jan 31, 2020
Updated videos in line with Turicreate could be of great help. Thoroughly enjoyed the learning experience though! Thanks to both the tutors!
교육 기관: Andrew V G•
Dec 25, 2017
Good introduction. I wish the notebooks had been a little more interactive, and there was more emphasis on applying the methods to new data.
교육 기관: Anshul T•
Dec 26, 2015
A good course to show the extent of what is coming up in the specialization, a quick and dirty hands-on approach and pleasant course tutors.
교육 기관: Jiancheng•
Dec 06, 2015
Great course design and case study! More detail about algorithm will be better, but maybe you can find them more in the following courses.
교육 기관: TE Z•
Dec 21, 2018
A good way to get familiar with the machine learning things. it provides the very basic concepts and way of thinking from ML perspective.
교육 기관: Dina T S•
Feb 10, 2016
The overall course was very useful.
However some topics I found difficulty to understand the idea even after repeating the video 3 times.
교육 기관: Lucas M•
Nov 11, 2018
I couldn't install Graphlab create on my own environment, so I had to translate almost everything to Pandas/SKLearn.
Great content, still
교육 기관: Yogesh D•
Apr 14, 2016
its a good course to get hands on development with machine learning algorithms. but one disadvantage being its using preparatory library
교육 기관: ZHENG W•
Sep 17, 2017
Great intro course to machines learning. For those who perhaps learnt back in university, it can also serve as a great revision course.